Dear forum,
I have estimated a mixed effect ordered probit model using something like
meoprobit outcome lagged_outcome initial_outcome $predictors $tavge_predictors || pid:
Some of the predictors are continuous, some are categorical. While creating $tavge_predictors, I only considered time varying continuous variables.
Estimation seems to be ok. But when I try to get the marginal effect by,
margins, grand dydx(*)
Stata returns, default prediction is a function of possibly stochastic quantities other than e(b), r(498);
Please help me to get the marginal effects. Any suggestions highly appreciated. Thanks in advance.
Ujjwal
I have estimated a mixed effect ordered probit model using something like
meoprobit outcome lagged_outcome initial_outcome $predictors $tavge_predictors || pid:
Some of the predictors are continuous, some are categorical. While creating $tavge_predictors, I only considered time varying continuous variables.
Estimation seems to be ok. But when I try to get the marginal effect by,
margins, grand dydx(*)
Stata returns, default prediction is a function of possibly stochastic quantities other than e(b), r(498);
Please help me to get the marginal effects. Any suggestions highly appreciated. Thanks in advance.
Ujjwal